基于人工智能的大功率射频校准方法

T. Walpita, A. Eroglu, M. N. Mahmoud
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引用次数: 0

摘要

精确的射频功率检测对于广泛的射频应用是非常必要的[1]。大功率射频信号检测的测量误差主要是由非线性和系统动力学引起的[2]。由于有源器件的频率依赖性和非线性特性,误差也会根据工作频率而变化[3]。改善测量误差的方法之一是在每个离散频率处采用常规控制系统使误差最小化。这需要对RF系统进行大量离散频率的功率校准,这在整个工作频率带宽内是不切实际的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High Power RF Calibration Method with Artificial Intelligence
An accurate RF power detection is highly desirable for wide range of RF applications [1] . The major error in measurement of high-power RF signal detection occurs due to non-linearities and system dynamics [2] . The error also varies based on the operational frequency because of the frequency dependency and non-linear characteristics of active devices [3] . One of the methods to improve the measurement error is to minimize the error by applying conventional control system at each discrete frequency. This requires power calibration of the RF system for large number of discrete frequencies which is not practical within the entire operational frequency bandwidth.
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